Author Correction: Low noise, open-source QEPAS system with instrumentation amplifier.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Optical detection of formaldehyde in air in the 3.6 µm range.

The optical detector of formaldehyde designed for sensing cancer biomarkers in air exhaled from human lungs with possible application in free atmosphere is described. The measurements were performed at wavelengths ranging from 3595.77-3596.20 nm. It was stated that at the pressure of 0.01 atm this absorption band exhibits the best immunity to typical interferents that might occur at high concentration in human breath. Multipass absorption spectroscopy was also applied. The method of optical fringes quenching by wavelength modulation and signal averaging over the interferences period was presented. The application of such approaches enabled the detection limit of about single ppb to be achieved.

Low noise, open-source QEPAS system with instrumentation amplifier.

Quartz enhanced photoacoustic spectroscopy (QEPAS) is a rapidly developing, ultrasensitive method for trace gas sensing. Adequate electronic amplifier, well matched to the quartz characteristics is crucial for overall system performance. Here we present an open source circuit for QEPAS signal amplification. It consists of a buffer, instrumentation amplifier and digitally controlled gain stage. An experiment showed, that it offers signal to noise ratio of about 23 dB better than commonly used transimpedance amplifier. The use of this circuit provides opportunity to improve QEPAS sensitivity by about one order of magnitude.

Nonlinear Origin of SSVEP Spectra-A Combined Experimental and Modeling Study.

Steady state visual evoked potentials (SSVEPs) are steady state oscillatory potentials elicited in the electroencephalogram (EEG) by flicker stimulation. The frequency of these responses maches the frequency of the stimulation and of its harmonics and subharmonics. In this study, we investigated the origin of the harmonic and subharmonic components of SSVEPs, which are not well understood. We applied both sine and square wave visual stimulation at 5 and 15 Hz to human subjects and analyzed the properties of the fundamental responses and harmonically related components. In order to interpret the results, we used the well-established neural mass model that consists of interacting populations of excitatory and inhibitory cortical neurons. In our study, this model provided a simple explanation for the origin of SSVEP spectra, and showed that their harmonic and subharmonic components are a natural consequence of the nonlinear properties of neuronal populations and the resonant properties of the modeled network. The model also predicted multiples of subharmonic responses, which were subsequently confirmed using experimental data.

[Detection of disease markers in the breath using optoelectronic methods]. / Wykrywanie markerów chorobowych w oddechu metodami optoelektronicznymi.

UNLABELLED: Great interest of scientific community is observed recently over non-invasive tests methods dedicated to diagnose disease states using biomarkers. The ability to detect these substances in the human breath can provide valuable information about disorder of biochemical processes in the body. Breath analysis is non-invasive, painless and can provide a quick answer about the existence of the disease. In addition, the sampling process is carried out comfortably for both the patient and the medical staff. AIM: The aim of the study was to present opportunity of application the optoelectronic methods for screening tests in medical diagnostics. The results of the researches carried out at the Institute of Experimental Physics, Department of Physics UW and at the Institute of Optoelectronics MUT are presented. MATERIALS AND METHODS: For the detection of methane and ammonia in breath the Multipass Spectroscopic Absorption Cells (MUPASS ) were used. In the case of nitric oxide and ethane observation, Cavity Enhanced Absorption Spectroscopy (CEAS) was applied. During the investigation modern tunable and sophisticated infrared radiation sources were used: single mode diode lasers (for CH4, NH3 detection), quantum cascade laser (NO sensing), and optical parametric generator (PG711/DFG) for ethane measurements. The investigations of developed sensors were conducted with use of reference samples of biomarkers, which were prepared with gas standards generator 491M from KIN-TEK company. RESULTS: Experiments showed that sensitivities of the sensors are suitable for human breath analyzing. In case of methane sensor, the detection limit (sensitivity) of ~ 0.1 ppm was obtained. This value is significantly lower than the upper limit of methane concentration in the breath of healthy humans (10 ppm). Therefore, our system well satisfies the requirements for diseases screening (e.g. intestines diseases ) and for methane monitoring in healthy human breath. Ammonia sensor is characterized with linear response in the concentration range higher than 1 ppm. The upper limit of ammonia concentration in healthy human breath is approx. 2 ppm, so this system is well suited for the determination of disease states (e.g. liver diseases). During the observation of nitrogen oxide the detection limit of 30 ppb was obtained. According to the ATS recommendation such NO detection limit is sufficient to monitor people's health state and for the detection of respiratory diseases like asthma or chronic bronchitis. For ethane detection with a wavelength of 3.348 microns the detection limit of 20 ppb was obtained. CONCLUSIONS: Developed sensors are characterized by high sensitivity (ppb-level) and high selectivity, simple and fast measurement procedure. Therefore, they can be applied as medical screening tools enabling biomarkers detection in exhaled air at the molecular level.

Detection of volatile organic compounds as biomarkers in breath analysis by different analytical techniques.

Breath is a rich mixture containing numerous volatile organic compounds at trace amounts (ppbv-pptv level) such as: hydrocarbons, alcohols, ketones, aldehydes, esters or heterocycles. The presence of some of them depends on health status. Therefore, breath analysis might be useful for clinical diagnostics, therapy monitoring and control of metabolic or biochemical cell cycle products. This Review presents an update on the latest developments in breath analysis applied to diagnosing different diseases with the help of high-quality equipment. Efforts were made to fully and accurately describe traditional and modern techniques used to determine the components of breath. The techniques were compared in terms of design, function and also detection limit of different volatile organic compounds. GC with different detectors, MS, optical sensor and laser spectroscopic detection techniques are also discussed.

Cavity ring-down absorption spectrography based on filament-generated supercontinuum light.

We performed simultaneous, multispectral CRDS measurements that for the first time use the Supercontinuum light source. We called this approach Supercontinuum Cavity Ring-Down Spectrography (SC CRDSpectrography) and successfully applied it to measuring the absorption spectrum of NO2 gas at a concentration of 2 ppm. The extrapolated sensitivity of our setup was much greater, about 5 ppb. The ppb sensitivity level is comparable to this obtainable with single wavelength dye-lasers based CRDS systems. It is, therefore, feasible to construct extremely broadband and sensitive CRDS devices basing on the SC CRDSpectrography scheme.

Particle size distribution retrieval from multiwavelength lidar signals for droplet aerosol.

A method of retrieval of the aerosol particle size distribution (APSD) from multiwavelength lidar signals is presented. Assumed distribution (usually a bimodal combination of lognormal functions) with a few free parameters is directly substituted into the lidar equations. The minimization technique allows one to find the parameters that provide the best fit of the assumed APSD by comparison of theoretically generated and experimental signals. Prior knowledge of the lidar ratio is not required. The approach was tested on a typical synthetic APSD consisting of spherical droplets. Comparison of lidar measurements with results from a condensation particle counter was also performed. For signals registered at 3-5 wavelengths from the UV to the near IR a satisfactory retrieval of synthetic APSD is possible for the particles within the 100-3000 nm range.

Analytical function for lidar geometrical compression form-factor calculations.

A simple model of image formation in a Newtonian telescope was used for calculating an analytical formula, that describes the geometric compression form factors of coaxial and biaxial lidars. Calculations were successfully validated by comparison with real measurements, confirming the accuracy of our approach. The need for different alignment of coaxial and biaxial systems to increase the overlap between the lidar emitter and receiver is also discussed.